What you'll learn:
- Collecting and summarizing data including type of data, measurement scales, collection methods, visualization techniques, and descriptive statistics
- Statistics and probability terminology and concepts
- Statistical decision making including point estimates, confidence intervals, hypothesis testing, paired comparison tests, goodness of fit tests, ANOVA and more
- Tools for examining the relationships between variables such as linear regression, correlation, and time series analysis.
- Control charting: Objective and benefits, common and special causes, variable charts, attribute charts, interpreting the results, and short run SPC
- Process capability analysis: Pp, Ppk, Cp, Cpk, control limits, specification limits, and interpreting actual histograms and capability indices
- Design and analysis of experiments: Terminology, planning and organizing experiments, replication, balance, order and more; full and fractional factorial
- All topics in the "Quantitative Methods and Tools" section of the ASQ Certified Quality Engineer Body of Knowledge
- Introduction to nonparametric methods such as Sign Test, Wilcoxon Signed Rank, Spearman's Correlation, Kruskal Wallis Test, and more
Are you familiar with basic statistical concepts, but feel like you never truly mastered them?
Have you tried to learn more advanced topics like probability distributions, hypothesis testing, or Design of Experiments (DOE), only to get lost in unnecessary jargon?
Would you rather perform real statistical analysis in Microsoft Excel instead of relying on expensive, specialized software?
And would you like to strengthen your analytical problem-solving skills to advance your career in quality, engineering, or manufacturing?
If you answered “yes” to any of these questions, Quality Engineering Statistics (2026) was designed for you. This course proves that a strong foundation in quality statistics does not have to be difficult or "too theoretical" to learn.
A Practical, Industry-Focused Statistics Course
Quality Engineering Statistics (2026) is one of the most comprehensive statistics courses available on Udemy for manufacturing and quality professionals. With 170+ lectures and over 16 hours of instruction, the course covers the analytical tools you need to succeed in real industrial environments, not just on exams.
Most statistical methods are demonstrated step-by-step in Microsoft Excel, and many lectures include downloadable Excel (.xls) templates you can immediately apply in your own work.
The course content aligns with the Quantitative Methods and Tools section of the ASQ Certified Quality Engineer (CQE) Body of Knowledge (July 2022 edition), making it valuable both for professional development and certification preparation.
Topics Covered
A. Collecting and Summarizing Data
Types of data
Measurement scales
Data collection methods
Data accuracy and integrity
Data visualization techniques
Descriptive statistics
Graphical methods for depicting distributions
B. Quantitative Concepts (All New for 2026)
Statistical terminology
Drawing statistical conclusions
Probability terms and concepts
C. Probability Distributions
Continuous distributions
Discrete distributions
D. Statistical Decision-Making
Point estimates and confidence intervals
Hypothesis testing
Paired-comparison tests
Goodness-of-fit tests
Analysis of variance (ANOVA)
Contingency tables
E. Relationships Between Variables
Linear regression
Simple linear correlation
Time-series analysis
F. Nonparametric Methods (All New for 2026)
Statistical inference and robustness
Testing sample means (Sign, Wilcoxon, Mann-Whitney tests)
Multiple random samples (Kruskal-Wallis and Friedman tests)
Correlation using Spearman’s rank test
G. Statistical Process Control (SPC)
Objectives and benefits
Common and special causes
Variable selection
Rational subgrouping
Control charts
Control chart analysis
Short-run SPC
H. Process and Performance Capability
Process capability studies
Process performance vs. specifications
Process capability indices
Process performance indices
I. Design and Analysis of Experiments (DOE)
Terminology
Planning and organizing experiments
Experimental design principles
Full-factorial experiments
Two-level fractional factorial experiments
Taught by Manufacturing Professionals, for Manufacturing Professionals
This is far more than an exam-prep course. Quality Engineering Statistics (2026) is taught by two senior, manufacturing professionals who share dozens of real-world examples and case studies drawn from decades of experience in quality engineering, manufacturing, and operations.
What You Get with This Course
In addition to 16+ hours of video instruction, you receive:
Lifetime access to all course materials and all future updates
Dozens of Excel worksheets
50 quiz questions, with 5–7 questions at the end of each section
Detailed practice problems throughout the course
Answer keys for all problem sets
Q&A access to the instructors through Udemy
Personalized Certificate of Completion
What Students Say
“This class is very comprehensive on the subject of statistics as it applies to the field of Quality Engineering. I don't remember a class consolidating all these topics into one package.” — William F.
“One of the best courses I have seen on this topic.” — Willie C.
“I graduated from Social Sciences and I am terrible at math… Now I am fully aware of how to use statistics, SPC, and how to successfully interpret the data.” — Erhan C.
“One of the best Udemy courses I've ever attended! Well prepared and engaging instructors.” — Andrea T.
Ready to Strengthen Your Statistical Skill Set?
If you want to build confidence with data, make better decisions, and solve increasingly complex problems in the workplace, Quality Engineering Statistics (2026) will give you the tools to do exactly that.
This course is designed to help you grow as a manufacturing quality professional ready for the next step in your career!
